DocumentCode :
3420371
Title :
Frontoparietal cortical networks revealed by Structural Equation modeling and high resolution EEG during a short term memory task
Author :
Babiloni, F. ; Cincotti, F. ; Basilisco, A. ; Maso, E. ; Bufano, M. ; Babiloni, C. ; Carducci, F. ; Rossini, P. ; Cerutti, S. ; Rubin, D. Ben Dayan
Author_Institution :
La Sapienza Univ., Rome, Italy
fYear :
2003
fDate :
20-22 March 2003
Firstpage :
79
Lastpage :
82
Abstract :
We addressed questions related to the cortical sources involved in the spatial short term memory in humans. Such sources were estimated from non-invasive EEG recordings by using linear inverse procedure in a group of 9 normal healthy subjects. Analyzed neural activations from EEG recordings were obtained in regions of interest (ROIs) of few squared cm at the cortical level. Structural equation modeling (SEM) technique was then used to assess effective connectivity between cortical ROIs. Results showed an increase of connectivity of cortical prefrontal and premotor areas during the task phase in which an image has to be held in the memory before an appropriate decision has to be made by the subjects.
Keywords :
brain models; electroencephalography; inverse problems; neurophysiology; connectivity; cortical ROI; cortical level; cortical prefrontal areas; cortical sources; decision; effective connectivity; frontoparietal cortical networks; high resolution EEG; humans; image; linear inverse procedure; neural activations; noninvasive EEG recordings; normal healthy subjects; premotor areas; regions of interest; short term memory task; spatial short term memory; structural equation modeling; structural equation modeling technique; task phase; Brain modeling; Buffer storage; Cognition; Electroencephalography; Equations; Hemodynamics; Humans; Inverse problems; Magnetic heads; Numerical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on
Print_ISBN :
0-7803-7579-3
Type :
conf
DOI :
10.1109/CNE.2003.1196760
Filename :
1196760
Link To Document :
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